Sikia provides an AI assistant for medical practices that automatically transcribes, structures, and codes patient conversations with high accuracy. This solution integrates directly into existing Practice Management Systems (PVS) like Medatixx and CGM, eliminating manual data entry. The platform ensures GDPR compliance by processing all sensitive patient data exclusively on German servers, streamlining documentation and billing processes.
Funding
Funding not disclosed
Founders
Product
Problem
Physicians in outpatient practices spend a substantial portion of their day manually documenting patient encounters, which is time‑consuming, prone to transcription errors, and often requires duplicate data entry into practice management systems. Inaccurate or incomplete records can lead to billing mistakes and compliance risks, especially under strict GDPR regulations.
Solution
Sikia offers an AI‑driven assistant that listens to the physician‑patient conversation, transcribes it in near real time, and automatically structures the content into clinical categories such as anamnesis, findings, and diagnosis. The platform applies a trained medical language model to generate the appropriate EBM and GoÄ service codes with over 95 % accuracy, eliminating manual coding. Integration is achieved through a one‑click connector that writes the generated documentation directly into the practice’s existing Practice Management System (e.g., Medatixx, CGM, tomedo) without requiring IT reconfiguration. All data are encrypted and processed exclusively on German servers, ensuring GDPR compliance and regular external audit certification. The solution can be deployed within minutes and works with standard or external microphones, allowing clinicians to focus on patient care while the system handles documentation and billing.
Target Audience
The primary customers are German outpatient medical practices and specialty clinics that use electronic practice management software and seek to streamline documentation, coding, and billing processes. It serves physicians across disciplines such as ENT, gynecology, general medicine, orthopedics, and others.
Features
- Real‑time speech‑to‑text conversion with 2–3 second latency and ≥95 % transcription accuracy for medical terminology across multiple specialties.
- Automatic categorization of transcript segments (e.g., anamnesis, examination, diagnosis) and generation of corresponding EBM/GoÄ billing codes.
- One‑click, bidirectional integration with major German practice management systems (Medatixx, CGM, tomedo, x.isynet, etc.) via secure API.
- End‑to‑end encryption and exclusive processing on German‑hosted servers, certified GDPR‑compliant with periodic external audits (HeyData).
- Plug‑and‑play setup requiring no technical expertise; the system operates with the computer’s built‑in microphone or compatible external devices.
- Domain‑specific language model trained on over 10,000 hours of clinical conversations, ensuring high recognition rates for specialty‑specific terminology.